Optimizing Data Structures for Scalable System Architecture
System scaling failures often stem from mismatched index structures rather than database limitations. This analysis explores hardware-aware architecture, probabilistic filtering, and AI-assisted benchmarking to reduce infrastructure costs and improve operational resilience. Engineering leaders can leverage these frameworks to align data models with workload patterns and prevent premature optimization.